Stochastic Climate Models

• The hierarchy of climate models; The emergence of randomness - chaos, averaging, limit theorems; tools and methods - SDE, dynamical systems, SPDE, multiscale techniques; reduced stochastic models and particular techniques.

"The proceedings of the workshop on Stochastic Climate Models, held in Chorin in 1999, present an exiting and stimulating summary of probabilistic developments in climate physics. Stochastic processes, stochastic and partial differential equations, random dynamical systems, local and large deviations asymptotic procedures, have comprised the most actice mathematical areas in teh field over the past 30 years, since Klaus Haselmann suggested a climate stochastic model where weather fluctuations randomly force the climate in the same way that fluid modecules forse Brownian pollen particles... The structure of the book reflects its aim to review and explain recent matheamtical additions to the list of tools for climate modelling, to help the climate physicists to understand what these tools are about... The book is strongly recommended as an excellent source or information and inspiration, both to mathematicians and physicists interested in the field." ---EMS NEWSLETTER